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NLP and Deep Learning: Stanford's Advanced Course Spring 2024

Master NLP and Deep Learning with Stanford's CS224N: Dive into word vectors, neural networks, transformers, and more. Transform language processing with cutting-edge lectures and tutorials. Unleash AI innovation with expert insights and practical skills!

4.0 (16)
150 learners

What you'll learn

Understand the fundamentals of natural language processing with deep learning techniques
Apply word vectors and language models to analyze textual data
Implement and train neural networks and sequence-to-sequence models
Explore advanced topics like self-attention, transformers, and brain-computer interfaces

This course includes

  • 27.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 23 lessons • 27.5 hours of video

NLP and Deep Learning: Stanford's Advanced Course Spring 2024
23 lessons • 27.5 hours
  • Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers01:17:03
  • Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - Pretraining01:18:46
  • Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language Generation01:18:24
  • Stanford CS224N NLP with Deep Learning | 2023 | Python Tutorial, Manasi Sharma47:13
  • Stanford CS224N NLP with Deep Learning | 2023 | PyTorch Tutorial, Drew Kaul47:00
  • Stanford CS224N NLP with Deep Learning | 2023 | Hugging Face Tutorial, Eric Frankel47:57
  • Stanford CS224N NLP with Deep Learning | 2023 | Lecture 16 - Multimodal Deep Learning, Douwe Kiela01:18:23
  • Stanford CS224N NLP with Deep Learning | 2023 | Lec. 19 - Model Interpretability & Editing, Been Kim01:11:42
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 1 - Intro and Word Vectors01:20:17
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 2 - Word Vectors and Language Models01:19:12
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 3 - Backpropagation, Neural Network01:13:27
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 4 - Dependency Parsing01:18:56
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 5 - Recurrent Neural Networks01:18:52
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 6 - Sequence to Sequence Models01:17:09
  • Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 7 - Attention, Final Projects and LLM Intro01:17:44
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 10 - Post-training by Archit Sharma01:19:42
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 11 - Benchmarking by Yann Dubois01:24:24
  • Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 12 - Efficient Training, Shikhar Murty01:02:32
  • Stanford CS224N: NLP w/ DL| Spring 2024 | Lecture 13 - Brain-Computer Interfaces, Chaofei Fan01:12:49
  • Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 14 - Reasoning and Agents by Shikhar Murty01:03:42
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 15 - After DPO by Nathan Lambert01:08:57
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 16 - ConvNets and TreeRNNs01:11:55
  • Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 18 - NLP, Linguistics, Philosophy01:16:26

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